steepest Descent
An efficient algorithm for steepest descent method for unconstrained optimization
... each steepest descent direction converge very ...new steepest descent method, which is for convex quadratic problems only is proposed by ...new steepest descent method uses the ...
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Strong convergence of relaxed hybrid steepest-descent methods for triple hierarchical constrained optimization
... Up to now, a large number of practical problems such as signal processing and network resource allocation have been formulated as the monotone variational inequality over the fixed point set of a nonexpansive mapping, ...
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Mann type hybrid steepest descent method for three nonlinear problems
... hybrid steepest-descent iterative algorithm for finding a common element of the set of solutions of a general mixed equilibrium problem, the set of solutions of general system of variational inequalities, ...
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A Generalized Hybrid Steepest-Descent Method for Variational Inequalities in Banach Spaces
... hybrid steepest-descent method introduced by Yamada 2001 is an algorithmic solution to the variational inequality problem over the fixed point set of nonlinear mapping and applicable to a broad range of ...
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A relaxed hybrid steepest descent method for common solutions of generalized mixed equilibrium problems and fixed point problems
... The method of the steepest descent, also known as The Gradient Descent, is the simplest of the gradient methods. By means of simple optimization algorithm, this popular method can find the local ...
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An Application of Hybrid Steepest Descent Methods for Equilibrium Problems and Strict Pseudocontractions in Hilbert Spaces
... hybrid steepest descent methods for finding a common element of the set of solutions of an equilibrium problem and the set of fixed points of a strict pseudocontraction mapping in the setting of real ...
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Efficient implementation of a modified and relaxed hybrid steepest descent method for a type of variational inequality
... hybrid steepest-descent method for solving VI(F, K) and a subsequent three-step relaxed version of this ...hybrid steepest-descent (MRHSD) ...
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Finite Step Relaxed Hybrid Steepest Descent Methods for Variational Inequalities
... hybrid steepest-descent methods for solving VIF, C has been introduced and studied recently by many authors see, ...hybrid steepest-descent for variational ...hybrid ...
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Hybrid Steepest-Descent Methods for Solving Variational Inequalities Governed by Boundedly Lipschitzian and Strongly Monotone Operators
... hybrid steepest descent algorithms for solving variational inequality VIC, F of finding a point x ∗ ∈ C such that Fx ∗ , x − x ∗ ≥ 0, for all x ∈ C, where C is the set of fixed points of a strict ...
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The hybrid steepest descent method for solutions of equilibrium problems and other problems in fixed point theory
... hybrid steepest descent method and prove the strong convergence to a common element of the equilibrium problem; the null space of an inverse strongly monotone operator; the set of fixed points of a ...
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On the Numerical Exploration of Zero-Dimensional Greenhouse Model using Newton-Raphson and Steepest Descent Methods
... Results given by Table IV showed that Steepest Descent methods walk with very slowly rate of convergence to obtain the point solution. This is analyzed from the value of ∇ g for each iteration step. The ...
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Modelling of LFM Spectrum as Rectangle using Steepest Descent Method
... the steepest descent approximation X(ω) is approximately a rectangle function of an amplitude A which is proportional to square root of BT product and k in the frequency intervals (+β/2 , ...the ...
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Adaptive Filtering using Steepest Descent and LMS Algorithm
... of steepest descent method is elucidated along with its simulation in MATLAB by taking a noise added signal and applying the ingenuity of this algorithm to get the desired noise-free ...
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Hybrid Steepest Descent Method with Variable Parameters for General Variational Inequalities
... hybrid steepest-descent method for variational inequality problems over the intersection of the fixed point sets of nonexpansive mappings,” in Inherently Parallel Algorithms in Feasibility and Optimization ...
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New Programming Approach for Steepest Descent Optimization of Rocket Trajectories
... Equation 21 is the gradiant function, optimizes the objective function. An optimal control problem needs accurate initial conditions. From the equations 1 − (3) the simulator program is developedand initial steering ...
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The hybrid steepest descent method for solving variational inequality over triple hierarchical problems
... 3 Strong convergence theorem In this section, we introduce an iterative algorithm for solving the monotone variational inequality over a triple hierarchical problem.. Proof We will divid[r] ...
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Steepest descent for generalised and regularised solution of linear operator equations
... The publisher or other rights-holder may allow further reproduction and re-use of this version - refer to the White Rose Research Online record for this item.. Where records identify the[r] ...
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Steepest descent for a linear operator equation of the second kind with application to Tikhonov regularisation
... The publisher or other rights-holder may allow further reproduction and re-use of this version - refer to the White Rose Research Online record for this item.. Where records identify the[r] ...
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Singularity analysis for heavy tailed random variables
... The study of combinatorial generating functions shares much in common with the study of probability generating functions; in fact in many instances they coincide or run parallel as is the case for more recent ...
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Active noise reduction in double panel structures : decentralized adaptive feedforward control
... 3.4.1 Effect of plant uncertainties As was shown in equation 32 , a steepest descent algorithm with effort weighting can be used to control the system to a minimum error solution when t[r] ...
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